Literature DB >> 34694601

Introduction to Bioinformatics Resources for Post-transcriptional Regulation of Gene Expression.

Eliana Destefanis1, Erik Dassi2,3.   

Abstract

Untranslated regions of mRNA (UTRs) are involved in defining the fate of the transcript through processes such as mRNA localization, degradation, translation initiation regulation, and several others: the action of trans-factors such as RNA-binding proteins and non-coding RNAs, combined with the presence of defined sequence and structural cis-elements, ultimately determines protein synthesis levels. Identifying functional regions in UTRs and uncovering post-transcriptional regulators acting upon these is thus of paramount importance to understand this regulatory layer: these tasks can now be approached computationally to reduce the testable hypothesis space and drive the experimental validation in a more effective way.This chapter will focus on presenting databases and tools allowing to study the various aspects of post-transcriptional regulation, including the profiling of actively translated mRNAs, regulatory network analysis (e.g., RBP and ncRNA binding sites), trans-factor binding sites prediction, motif search (sequence and secondary structure), and other aspects of this regulatory layer: two potential analysis pipelines are also presented as practical examples of how these tools could be integrated and effectively employed.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Binding site; Bioinformatics; Data analysis; Database; Motif; Omics; Pipeline; Polysomal profiling; Prediction; RBP; Secondary structure; UTR; ncRNA

Mesh:

Substances:

Year:  2022        PMID: 34694601     DOI: 10.1007/978-1-0716-1851-6_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  131 in total

1.  Isolation of polysomal RNA for microarray analysis.

Authors:  Yoav Arava
Journal:  Methods Mol Biol       Date:  2003

Review 2.  Transcriptome-wide analysis of protein-RNA interactions using high-throughput sequencing.

Authors:  Miha Milek; Emanuel Wyler; Markus Landthaler
Journal:  Semin Cell Dev Biol       Date:  2011-12-27       Impact factor: 7.727

Review 3.  Sequencing technologies - the next generation.

Authors:  Michael L Metzker
Journal:  Nat Rev Genet       Date:  2009-12-08       Impact factor: 53.242

Review 4.  Ribosome profiling: new views of translation, from single codons to genome scale.

Authors:  Nicholas T Ingolia
Journal:  Nat Rev Genet       Date:  2014-01-28       Impact factor: 53.242

5.  CLIP identifies Nova-regulated RNA networks in the brain.

Authors:  Jernej Ule; Kirk B Jensen; Matteo Ruggiu; Aldo Mele; Aljaz Ule; Robert B Darnell
Journal:  Science       Date:  2003-11-14       Impact factor: 47.728

6.  Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.

Authors:  Markus Hafner; Markus Landthaler; Lukas Burger; Mohsen Khorshid; Jean Hausser; Philipp Berninger; Andrea Rothballer; Manuel Ascano; Anna-Carina Jungkamp; Mathias Munschauer; Alexander Ulrich; Greg S Wardle; Scott Dewell; Mihaela Zavolan; Thomas Tuschl
Journal:  Cell       Date:  2010-04-02       Impact factor: 41.582

7.  Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome.

Authors:  Bastian Linder; Anya V Grozhik; Anthony O Olarerin-George; Cem Meydan; Christopher E Mason; Samie R Jaffrey
Journal:  Nat Methods       Date:  2015-06-29       Impact factor: 28.547

8.  Robust transcriptome-wide discovery of RNA-binding protein binding sites with enhanced CLIP (eCLIP).

Authors:  Eric L Van Nostrand; Gabriel A Pratt; Alexander A Shishkin; Chelsea Gelboin-Burkhart; Mark Y Fang; Balaji Sundararaman; Steven M Blue; Thai B Nguyen; Christine Surka; Keri Elkins; Rebecca Stanton; Frank Rigo; Mitchell Guttman; Gene W Yeo
Journal:  Nat Methods       Date:  2016-03-28       Impact factor: 28.547

9.  Argonaute HITS-CLIP decodes microRNA-mRNA interaction maps.

Authors:  Sung Wook Chi; Julie B Zang; Aldo Mele; Robert B Darnell
Journal:  Nature       Date:  2009-06-17       Impact factor: 49.962

10.  iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution.

Authors:  Julian König; Kathi Zarnack; Gregor Rot; Tomaz Curk; Melis Kayikci; Blaz Zupan; Daniel J Turner; Nicholas M Luscombe; Jernej Ule
Journal:  Nat Struct Mol Biol       Date:  2010-07-04       Impact factor: 15.369

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